AMZ2004 commited on
Commit
a98aba6
·
verified ·
1 Parent(s): 38fef0e

Push PPO agent to the Hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ replay.mp4 filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -17,7 +17,7 @@ model-index:
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  type: LunarLander-v2
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  metrics:
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  - type: mean_reward
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- value: -110.03 +/- 79.03
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  name: mean_reward
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  verified: false
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  ---
@@ -36,7 +36,7 @@ This is a trained model of a PPO agent playing LunarLander-v2.
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  'wandb_entity': None
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  'capture_video': True
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  'env_id': 'LunarLander-v2'
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- 'total_timesteps': 50000
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  'learning_rate': 0.00025
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  'num_envs': 8
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  'num_steps': 2048
 
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  type: LunarLander-v2
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  metrics:
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  - type: mean_reward
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+ value: -104.38 +/- 18.56
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  name: mean_reward
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  verified: false
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  ---
 
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  'wandb_entity': None
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  'capture_video': True
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  'env_id': 'LunarLander-v2'
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+ 'total_timesteps': 1000000
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  'learning_rate': 0.00025
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  'num_envs': 8
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  'num_steps': 2048
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replay.mp4 CHANGED
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results.json CHANGED
@@ -1 +1 @@
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- {"env_id": "LunarLander-v2", "mean_reward": -110.02536891474179, "std_reward": 79.02843538923116, "n_evaluation_episodes": 10, "eval_datetime": "2025-08-03T14:31:08.729530"}
 
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